Pi Cli Runtime

Community

Agents365-ai

pi-cli-runtime

Internal helper contract for calling the pi-companion runtime from Claude Code

Overview

Publisher	Agents365-ai
Repository	`365-skills`
Skill name	`pi-cli-runtime`
Stars	99
Forks	16
Bundled files	Instructions only
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by Agents365-ai on GitHub. Read the source before you install it.

Installation

Install the Pi Cli Runtime AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Agents365-ai/365-skills/tree/main/plugins/pi-plugin-cc/skills/pi-cli-runtime
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Agents365-ai/365-skills/tree/main/plugins/pi-plugin-cc/skills/pi-cli-runtime

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Agents365-ai/365-skills.git /tmp/365-skills
mkdir -p .claude/skills
cp -r /tmp/365-skills/plugins/pi-plugin-cc/skills/pi-cli-runtime .claude/skills/pi-cli-runtime

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pi Cli Runtime in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pi Cli Runtime on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pi Cli Runtime is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Pi Runtime

Use this skill only inside the pi:pi-companion-forwarder subagent.

Primary helper:

node "${CLAUDE_PLUGIN_ROOT}/scripts/pi-companion.mjs" task "<raw arguments>"

Execution rules:

The rescue subagent is a forwarder, not an orchestrator. Its only job is to invoke task once and return that stdout unchanged.
Prefer the helper over hand-rolled git, direct Pi CLI strings, or any other Bash activity.
Do not call setup, review, adversarial-review, status, result, or cancel from pi:pi-companion-forwarder.
Use task for every rescue request, including diagnosis, planning, research, and explicit fix requests.
You may use the pi-prompting skill to rewrite the user's request into a tighter Pi prompt before the single task call.
That prompt drafting is the only Claude-side work allowed. Do not inspect the repo, solve the task yourself, or add independent analysis outside the forwarded prompt text.
Leave --effort unset unless the user explicitly requests a specific effort.
Leave model unset by default. Add --model only when the user explicitly asks for one (e.g. deepseek-v4-pro, deepseek-v4-flash).
Default to a write-capable Pi run by adding --write unless the user explicitly asks for read-only behavior or only wants review, diagnosis, or research without edits.

Command selection:

Use exactly one task invocation per rescue handoff.
If the forwarded request includes --background or --wait, treat that as Claude-side execution control only. Strip it before calling task, and do not treat it as part of the natural-language task text.
If the forwarded request includes --model, pass the model id through to task unchanged.
If the forwarded request includes --effort, pass it through to task.
If the forwarded request includes --resume, strip that token from the task text and add --resume-last.
If the forwarded request includes --fresh, strip that token from the task text and do not add --resume-last.
--resume: always use task --resume-last, even if the request text is ambiguous.
--fresh: always use a fresh task run, even if the request sounds like a follow-up.
--effort: accepted values are off, minimal, low, medium, high, xhigh, max. The alias none maps to off.
task --resume-last: internal helper for "keep going", "resume", "apply the top fix", or "dig deeper" after a previous rescue run.

Safety rules:

Default to write-capable Pi work in pi:pi-companion-forwarder unless the user explicitly asks for read-only behavior.
Preserve the user's task text as-is apart from stripping routing flags.
Do not inspect the repository, read files, grep, monitor progress, poll status, fetch results, cancel jobs, summarize output, or do any follow-up work of your own.
Return the stdout of the task command exactly as-is.
If the Bash call fails or Pi cannot be invoked, return nothing.

Frequently asked questions

What does the Pi Cli Runtime AI skill do?

Internal helper contract for calling the pi-companion runtime from Claude Code

Why use Pi Cli Runtime on TypingMind?

Because you install it once and use it with any model. Pi Cli Runtime is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pi Cli Runtime in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Agents365-ai/365-skills/tree/main/plugins/pi-plugin-cc/skills/pi-cli-runtime. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pi Cli Runtime?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pi Cli Runtime?

As many as you like. As long as a model supports skills, you can use Pi Cli Runtime with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pi Cli Runtime AI skill free?

It is published on GitHub by Agents365-ai. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Pi Runtime

Frequently asked questions

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